DESIGN AND ANALYSIS OF ENTROPY-CONSTRAIN ED REFLECTED RESIDUAL
Wail A. Mousa, M. Asif Khan, King Fahd, Saudi Arabia · 2002
Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the en coder in order to reduce the encoding search burden and mem ory storage requirements of an unconstrained VQ. Jointly opti mized RVQ (JORVQ) was introduced as an effective design al gorithm for minimizing the overalt quantization error. Reflected residual vector quantization (RRVQ) was introduced as an alterna tive design algorithm for RVQ structure with smaller computation burden. RRVQ works by imposing an additional symmetry con straint on the RVQ codebook design. Savings in computation was accompanied by increase in distortion. However, is expected that an RRVQ codebook being structured in nature, wilt provide lower output entropy. Therefore, we generalize RRVQ to include noiseless entropy coding. The method is referred to as Entropy Constrained RRVQ (EC-RRVQ). Simulation results show that EC RRVQ outperforms RRVQ by 4-dB for memoryless Gaussian and Laplacian sources. addition, for the same synthetic sources, EC